Martin Steegmaier
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Oncology top 5%
- Immunology top 5%
- Immunology and Allergy top 1%
- Co-authors
- Richard H. SchellerMatthias HoffmannBin YangWolfgang J. RettigPéter LénártMark PetronczkiNorbert KrautMatthias Grauert
- Topics
- Cellular transport and secretion (8 papers)Microtubule and mitosis dynamics (6 papers)Cell Adhesion Molecules Research (6 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Martin Steegmaier
23 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 2.4k
- Cell Biology 2.1k
- Oncology 824
- Immunology 477
- Immunology and Allergy 455
Countries citing papers authored by Martin Steegmaier
This map shows the geographic impact of Martin Steegmaier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Steegmaier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Steegmaier more than expected).
Fields of papers citing papers by Martin Steegmaier
This network shows the impact of papers produced by Martin Steegmaier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Steegmaier. The network helps show where Martin Steegmaier may publish in the future.
Co-authorship network of co-authors of Martin Steegmaier
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Steegmaier. A scholar is included among the top collaborators of Martin Steegmaier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Steegmaier. Martin Steegmaier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 25 | |
| 3 | 322 | |
| 4 | 5 | |
| 5 | BI 2536, a Potent and Selective Inhibitor of Polo-like Kinase 1, Inhibits Tumor Growth In Vivobreakdown → | 691 |
| 6 | The Small-Molecule Inhibitor BI 2536 Reveals Novel Insights into Mitotic Roles of Polo-like Kinase 1breakdown → | 563 |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 251 | |
| 10 | 65 | |
| 11 | 46 | |
| 12 | 260 | |
| 13 | 123 | |
| 14 | 166 | |
| 15 | 136 | |
| 16 | 236 | |
| 17 | 95 | |
| 18 | 25 | |
| 19 | 63 | |
| 20 | 103 |
About Martin Steegmaier
Martin Steegmaier is a scholar working on Immunology and Allergy, Cell Biology and Cancer Research, having authored 24 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Microtubule and mitosis dynamics (6 papers) and Cell Adhesion Molecules Research (6 papers). The work is most often cited by research in Cell Biology (2.1k citations), Immunology and Allergy (455 citations) and Molecular Biology (2.4k citations). Martin Steegmaier has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Richard H. Scheller, Matthias Hoffmann, Bin Yang, Wolfgang J. Rettig, Péter Lénárt, Mark Petronczki, Norbert Kraut, Matthias Grauert, Lino C. Gonzalez and Eric Borges. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.